Role: AI/ ML Engineer
Duration: 6 months contract
Location: US/ Canada- Remote Minimum exp. required: 8 yrs.
Job Description
We are looking for a GenAI Engineer to design build and deploy generative AI solutions using large language models (LLMs). The ideal candidate will have hands-on experience with prompt engineering model fine-tuning and integrating GenAI capabilities into real-world applications.
Key Responsibilities
- Design and develop GenAI solutions using LLMs (GPT Claude LLaMA etc.)
- Implement prompt engineering RAG (Retrieval-Augmented Generation) and fine-tuning techniques
- Build and integrate AI-powered features into applications and APIs
- Work with vector databases for embeddings and semantic search
- Collaborate with product data and engineering teams to translate business needs into AI solutions
- Optimize model performance latency and cost
- Ensure AI solutions follow security privacy and ethical AI standards
Required Skills
- Strong programming skills in Python (mandatory)
- Hands-on experience with LLMs and GenAI frameworks (LangChain LlamaIndex OpenAI APIs Hugging Face)
- Experience with prompt engineering RAG pipelines and embeddings
- Knowledge of vector databases (Pinecone FAISS Weaviate ChromaDB)
- Experience with REST APIs and microservices
- Familiarity with cloud platforms (AWS Azure or GCP)
Good to Have
- Experience with model fine-tuning (LoRA PEFT RLHF basics)
- Knowledge of MLOps tools and CI/CD for AI workflows
- Experience with multi-modal models (text image audio)
- Background in NLP ML or Data Science
Role: AI/ ML Engineer Duration: 6 months contract Location: US/ Canada- Remote Minimum exp. required: 8 yrs. Job Description We are looking for a GenAI Engineer to design build and deploy generative AI solutions using large language models (LLMs). The ideal candidate will have hands-on experience...
Role: AI/ ML Engineer
Duration: 6 months contract
Location: US/ Canada- Remote Minimum exp. required: 8 yrs.
Job Description
We are looking for a GenAI Engineer to design build and deploy generative AI solutions using large language models (LLMs). The ideal candidate will have hands-on experience with prompt engineering model fine-tuning and integrating GenAI capabilities into real-world applications.
Key Responsibilities
- Design and develop GenAI solutions using LLMs (GPT Claude LLaMA etc.)
- Implement prompt engineering RAG (Retrieval-Augmented Generation) and fine-tuning techniques
- Build and integrate AI-powered features into applications and APIs
- Work with vector databases for embeddings and semantic search
- Collaborate with product data and engineering teams to translate business needs into AI solutions
- Optimize model performance latency and cost
- Ensure AI solutions follow security privacy and ethical AI standards
Required Skills
- Strong programming skills in Python (mandatory)
- Hands-on experience with LLMs and GenAI frameworks (LangChain LlamaIndex OpenAI APIs Hugging Face)
- Experience with prompt engineering RAG pipelines and embeddings
- Knowledge of vector databases (Pinecone FAISS Weaviate ChromaDB)
- Experience with REST APIs and microservices
- Familiarity with cloud platforms (AWS Azure or GCP)
Good to Have
- Experience with model fine-tuning (LoRA PEFT RLHF basics)
- Knowledge of MLOps tools and CI/CD for AI workflows
- Experience with multi-modal models (text image audio)
- Background in NLP ML or Data Science
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